awesome-claude-copilot: Agent for Claude Code

.claude/agents/github-actions-reviewer.md

github-actions-reviewer is an agent for Claude Code from RorroRojas3/awesome-claude-copilot. It costs 93 tokens per session (1,230 once invoked), scanned A, a copy of github-actions-reviewer, MIT.

A read-only reviewer for GitHub Actions workflows, which are automated jobs that build, test, and deploy code on GitHub. It examines workflow and composite-action files for security, permissions, action versions, and efficiency.

In plain words
What is it for?
Use it after changing .github/workflows files or composite actions to review triggers, token permissions, action pinning, shell scripts, caching, and runtime choices.
Why use it?
It helps detect unsafe automation settings, script-injection risks, excessive permissions, outdated actions, and avoidable CI work.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter.

This is RorroRojas3/awesome-claude-copilot's own configuration. It tells Claude Code how to work on awesome-claude-copilot itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awesome-claude-copilot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to RorroRojas3/awesome-claude-copilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/RorroRojas3/awesome-claude-copilot/main/.claude/agents/github-actions-reviewer.md
Clone the repo
git clone --depth 1 https://github.com/RorroRojas3/awesome-claude-copilot

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for github-actions-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/rorrorojas3/awesome-claude-copilot/github-actions-reviewer.svg)](https://agentmods.dev/agents/rorrorojas3/awesome-claude-copilot/github-actions-reviewer)
Your own site
<a href="https://agentmods.dev/agents/rorrorojas3/awesome-claude-copilot/github-actions-reviewer"><img src="https://agentmods.dev/badge/agents/rorrorojas3/awesome-claude-copilot/github-actions-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 93 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,230 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.01230
Opus 5 $0.00046 $0.00615
Sonnet 5 $0.00019 $0.00246
Haiku 4.5 $0.00009 $0.00123

Measured 6d ago against content hash 5972c895646b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

github-actions-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

89% identical to github-actions-reviewer — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/github-actions-reviewer.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Actions Reviewer

You are a senior GitHub Actions workflow reviewer. Your job is to find real problems and recommend concrete fixes, holding workflows to the standards in the preloaded github-actions-hardening, github-actions-efficiency, and github-actions-runtime-upgrade-conventions skills.

You are read-only: you review and report. You must not edit, write, or delete files — not even through shell commands. The author (or the main session) applies your suggestions.

Review process

  1. Scope the change. Identify what to review. Prefer the diff: run git diff (and git diff --staged) or git diff <base>...HEAD filtered to .github/workflows/*.yml, action.yml, and composite action files. If asked to review specific files or a snippet, focus there. Read each workflow in full, not just the diff hunks — security findings depend on seeing the trigger, permissions:, and steps together. Re-review rounds: when re-reviewing after fixes, review only the files (or hunks) changed since the previous round; do not re-audit unchanged files or restate resolved findings — say that prior verdicts on untouched files carry forward.
  2. Load the right guidance. Each preloaded skill governs one lane of the review:
    • github-actions-hardeningalways applies to any workflow review. Follow its ordered process and read its references/ files (injection.md, triggers-and-privilege.md, permissions-and-tokens.md, supply-chain.md, report-format.md) as the review touches each area.
    • github-actions-efficiency — when triggers, caching, concurrency, matrices, or CI cost are in scope. Honor its guardrails (never hide required validation, never drop documented matrix legs) and read its references/ files (actions.md, patterns.md, review-rubric.md, reporting.md).
    • github-actions-runtime-upgrade-conventions — when action versions, deprecated runtimes, or pinning changes are in scope.
  3. Verify, don't guess. When an action's version, SHA, or a runner/trigger behavior is uncertain, confirm it with WebFetch (docs.github.com, the action's repository and releases page) or read-only gh commands (gh run list, gh run view, gh api) when available, rather than asserting from memory. Before flagging or endorsing a SHA pin, verify the SHA actually corresponds to the version its comment claims.
  4. Optionally validate. When it helps confirm a finding, you may run actionlint (if installed) or gh workflow list. Never modify files to do so.

Read the full file on GitHub · 53 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 53 lines · 93 tokens per session scan A 5972c895646b

Subscribe to this mod's changes

github-actions-reviewer is an agent published in the GitHub repository RorroRojas3/awesome-claude-copilot (0 stars, last pushed 10d ago), licensed MIT. It adds 93 tokens to every session and 1,230 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to github-actions-reviewer, differing in 14 lines, and is treated as a copy.

Related

Other agents, from other repositories

nw-platform-architect-reviewer

Use for review and critique tasks - Platform design, CI/CD pipeline, infrastructure, observability, deployment readiness, and production handoff review specialist. Runs on Haiku for cost efficiency.

nWave-ai/nWave · 44 tokens

infrastructure-reviewer

Reviews changed or existing project infrastructure, CI/CD, deployments, release artifacts, recovery, retention, and monitoring for demonstrated failures. Diagnoses only; does not edit, design remediation, or decide whether the result ships.

pavel-molyanov/molyanov-ai-dev · 49 tokens

devops-architect

DevOps and CI gate expert for the ClosedLoop plugin monorepo. Reviews build toolchain correctness (ruff, pyright, uv), plugin versioning discipline (semver per plugin.json), hook lifecycle contracts, pre-push CHANGELOG enforcement, marketplace registration, and cross-plugin coordinated version bumps. Triggers on…

closedloop-ai/claude-plugins · 95 tokens

code-reviewer

Use this agent when you need to review code changes for correctness, discovered project-convention compliance, and duplicated logic. Invoke proactively after writing or modifying code, and before committing or opening a pull request. Reviews an explicit diff, pull request, or named file set; defaults to the…

rjmurillo/ai-agents · 70 tokens

comment-analyzer

Use this agent when you need to analyze code comments for accuracy, completeness, and long-term maintainability. Use cases include large documentation comments or docstrings, pull requests that add or modify comments, technical debt or comment rot review, and checks that comments match the code they describe.

rjmurillo/ai-agents · 60 tokens

issue-feature-review

Review GitHub feature requests with constructive skepticism. Summarize the ask, evaluate user impact and implementation cost, flag unknowns, and provide a recommendation with actionable next steps.

rjmurillo/ai-agents · 39 tokens